Interpreting random forest models using a feature contribution method. - Anna Palczewska; Jan Palczewski; Richard Marchese Robinson; Daniel Neagu (IRI, 2013)

Interpreting Random Forest Classification Models Using a Feature Contribution Method. - Anna Palczewska; Jan Palczewski; Richard Marchese Robinson; Daniel Neagu (IRI (best papers), 2013)

Towards model governance in predictive toxicology. - Anna Palczewska; Xin Fu; Paul R. Trundle; Longzhi Yang; Daniel Neagu; Mick J. Ridley; Kim Travis (Int. J. Inf. Manag., 2013)

Using Pareto points for model identification in predictive toxicology. - Anna Palczewska; Daniel Neagu; Mick J. Ridley (J. Cheminformatics, 2013)

Using computational methods for the prediction of drug vehicles. - Pritesh Mistry; Anna Palczewska; Daniel Neagu; Paul R. Trundle (UKCI, 2014)

The Scope and Capabilities of ITS - the Case of Lodz. - Remigiusz Kozlowski; Anna Palczewska; Jakub Jablonski (TST, 2016)

RobustSPAM for Inference from Noisy Longitudinal Data and Preservation of Privacy. - Anna Palczewska; Jan Palczewski; Georgios Aivaliotis; Lukasz Kowalik (ICMLA, 2017)

Analysis of Expanded Possibilities of ITS Systems Augmented with New Vision System Elements: The Case of Lodz. - Remigiusz Kozlowski; Anna Palczewska; Lukasz Borowiecki (TST, 2017)

Comparison of the Predictive Performance and Interpretability of Random Forest and Linear Models on Benchmark Data Sets. - Richard Marchese Robinson; Anna Palczewska; Jan Palczewski; Nathan J. Kidley (J. Chem. Inf. Model., 2017)

Application of Unsupervised Learning in Weight-Loss Categorisation for Weight Management Programs. - Oladapo Babajide; Hissam Tawfik; Anna Palczewska; Anatoliy Gorbenko; Arne Astrup; J. Alfredo Martinez; Jean-Michel Oppert; Thorkild I. A. Sørensen (DESSERT, 2019)

A Machine Learning Approach to Short-Term Body Weight Prediction in a Dietary Intervention Program. - Oladapo Babajide; Hissam Tawfik; Anna Palczewska; Anatoliy Gorbenko; Arne Astrup; J. Alfredo Martinez; Jean-Michel Oppert; Thorkild I. A. Sørensen (ICCS (4), 2020)

Interpreting Neural Networks Prediction for a Single Instance via Random Forest Feature Contributions. - Anna Palczewska; Urszula Markowska-Kaczmar (ICCS (2), 2021)

LCCspm: l-Length Closed Contiguous Sequential Patterns Mining Algorithm to Find Frequent Athlete Movement Patterns from GPS. - Victor Elijah Adeyemo; Anna Palczewska; Ben Jones (ICMLA, 2021)

Markov Decision Processes with Contextual Nodes as a Method of Assessing Attacking Player Performance in Rugby League. - Thomas Sawczuk; Anna Palczewska; Ben Jones (UKCI, 2021)

Development of an expected possession value model to analyse team attacking performances in rugby league. - Thomas Sawczuk; Anna Palczewska; Ben Jones (CoRR, 2021)

Machine learning, materiality and governance: A health and social care case study. - Justin Keen; Roy A. Ruddle; Jan Palczewski; Georgios Aivaliotis; Anna Palczewska; Christopher Megone; Kevin Macnish (Inf. Polity, 2021)

Weight Management Programme: Use of Machine Learning Approaches to Identify Client Outcomes. - Jackie Campbell; Anna Palczewska; Ayotomide Adeyeye; Osayande Omobude; Windi Marva; Claire Griffiths; Paul Gately; Dorothy Monekosso (UKCI, 2022)

Use of Kernel Density Estimation to Understand the Spatial Trends of Attacking Possessions in Rugby League. - Thomas Sawczuk; Anna Palczewska; Ben Jones; Jan Palczewski (UKCI, 2022)

Injury Risk Prediction in Rugby League Players with Training Volume Data and Machine Learning. - Christopher Todd; Anna Palczewska; Dan Weaving (UKCI, 2022)

Application of Machine Learning Techniques to Predict Teenage Obesity Using Earlier Childhood Measurements from Millennium Cohort Study. - Balbir Singh; Anatoliy Gorbenko; Anna Palczewska; Hissam Tawfik (ICCBDC, 2023)

Identification of pattern mining algorithm for rugby league players positional groups separation based on movement patterns. - Victor Elijah Adeyemo; Anna Palczewska; Ben Jones; Dan Weaving (CoRR, 2023)

The use of match-based exact movement activities to classify elite rugby league players into positional groups. - Victor Elijah Adeyemo; Anna Palczewska; Ben Jones; Dan Weaving (Int. J. Data Sci. Anal., 2025)